Artificial Intelligence for Planetary Science Discovery in Legacy Data

About the role

The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Description

Planetary missions have returned enormous amounts of surface imagery during the past decades of space exploration, most of which remains unused by planetary scientists due to the inability to manually, exhaustively search for even a single scientifically relevant target feature. This has significant, negative impact on planetary science understanding, surface characterization, and models of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale, significantly improving extracted science yield and accelerating science discovery in a manner broadly applicable to many planetary bodies.

This project seeks to combine traditional planetary science and recent advances in computer science to maximize the science return of past space exploration missions. The candidate will explore cutting edge AI/ML methods to automate science discovery and focus of attention in planetary image datasets. The science targets selected for discovery should be motivated by current, relevant questions that advance our understanding of planet surface dynamics and evolution.

Requirements

• Candidates that are facile with computationally efficient, rigorous machine learning for image region identification
• Demonstrate an understanding of both planetary and scalable computer science
• Have publication experience in the planetary science literature
• Additional benefit would be provided by past experience with planetary image datasets, data science tools, Geographic Information Software, as well as an established network of expert contacts within planetary and computer science

Qualifications

A Doctoral Degree.

Skills

• Facile with computationally efficient, rigorous machine learning for image region identification
• Understanding of both planetary and scalable computer science
• Publication experience in the planetary science literature
• Past experience with planetary image datasets, data science tools, Geographic Information Software, as well as an established network of expert contacts within planetary and computer science

Benefits

These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Pay

Salary range: $65,000 - $90,000 per year

Schedule

Full-time, 12-month appointment

Contact

Lukas Mandrake
lukas.mandrake@jpl.nasa.gov
(818) 354-1705